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Custom & Domain LLMs

Off-the-shelf models speak the internet. Yours should speak your domain — and never leave your walls.

On-premise or your VPCNever leaves your networkCited to the source
Schedule a meetingWalk through the system →
console — live view
what does clause 7.3 require?answer — grounded[1]policy_manual.pdf§7.3 · page 41on-premisetuned to your corpussource of record
Built by GenAI & Agentic AI Development
How it ships
On-premruns inside your environment
Citedanswers traceable to source
Your corpustuned to your domain language
What this is

A general model knows a little about everything. For regulated work, that is rarely enough: the language is specialized, the answers must be traceable, and the data cannot leave your control. A custom or domain-tuned LLM closes that gap — trained on your corpus, grounded in your sources, and deployed where your data already lives.

We tune the model to your domain, wire every answer to the passages that support it, and run it on-premise or in your private cloud. The result reads your material the way an expert would, and shows its work when a reviewer asks.

What it does

Walk through the system.

domain tuning01 / 04
your corpusyour model — learning your languagetuning runepoch 3 / 4loss ↓ 0.42terms learned 1.2keval acc 94.2%
What you get
  • A domain-tuned LLM deployed in your environment
  • Citations and access controls where compliance requires them
  • An evaluation harness and accuracy benchmarks against your data
  • Documentation and handover for your team to operate it
Who builds it

Delivered by our GenAI & Agentic AI Development practice — the same team, method, and quality gate, packaged for this outcome.

Explore the practice
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See it running on your problem.

Bring a real use case to a live session — we will show you how this system reaches production in your environment.

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